Read the Web
Research Project at Carnegie Mellon University

NELL: Never-Ending Language Learning

Browse the Knowledge Base!

Can computers learn to read? We think so. "Read the Web" is a research project that attempts to create a computer system that learns over time to read the web. Since January 2010, our computer system called NELL (Never-Ending Language Learner) has been running continuously, attempting to perform two tasks each day:

• First, it attempts to "read," or extract facts from text found in hundreds of millions of web pages (e.g., playsInstrument(George_Harrison, guitar)).
• Second, it attempts to improve its reading competence, so that tomorrow it can extract more facts from the web, more accurately.

So far, NELL has accumulated over 50 million candidate beliefs by reading the web, and it is considering these at different levels of confidence. NELL has high confidence in 2,810,379 of these beliefs — these are displayed on this website. It is not perfect, but NELL is learning. You can track NELL's progress below or @cmunell on Twitter, browse and download its knowledge base, read more about our technical approach, or join the discussion group.

Recently-Learned Facts

instance	iteration	date learned	confidence
conference_record is a company	1111	06-jul-2018	100.0
university_of_missouri___kansas_city is a sports team	1111	06-jul-2018	100.0
jackie_goodwin is a North American person	1111	06-jul-2018	91.5
diamond_silver is a visualizable attribute	1111	06-jul-2018	92.9
westminster_station is a skyscraper	1111	06-jul-2018	100.0
pacific is a city also known as san_francisco	1112	24-jul-2018	93.8
triangle has shape faces	1112	24-jul-2018	93.8
mazda is a specific automobile maker dealer in usa	1114	25-aug-2018	100.0
kaiser_wilhelm has citizenship in the country germany	1111	06-jul-2018	100.0
new_south_wales is the location of the event n2011_christchurch_earthquake	1116	12-sep-2018	100.0